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Douglas Pinto Sampaio Gomes
Douglas Pinto Sampaio Gomes
Dirección de correo verificada de vu.edu.au
Título
Citado por
Citado por
Año
COVID-19 control by computer vision approaches: A survey
A Ulhaq, J Born, A Khan, DPS Gomes, S Chakraborty, M Paul
Ieee Access 8, 179437-179456, 2020
1222020
High-sensitivity vegetation high-impedance fault detection based on signal's high-frequency contents
DPS Gomes, C Ozansoy, A Ulhaq
IEEE Transactions on Power Delivery 33 (3), 1398-1407, 2018
1142018
Computer vision for COVID-19 control: a survey
A Ulhaq, A Khan, D Gomes, M Paul
arXiv preprint arXiv:2004.09420, 2020
992020
Vegetation high-impedance faults’ high-frequency signatures via sparse coding
DPS Gomes, C Ozansoy, A Ulhaq
IEEE Transactions on Instrumentation and Measurement 69 (7), 5233-5242, 2019
322019
High-impedance faults in power distribution systems: A narrative of the field’s developments
DPS Gomes, C Ozansoy
ISA transactions 118, 15-34, 2021
292021
The effectiveness of different sampling rates in vegetation high-impedance fault classification
DPS Gomes, C Ozansoy, A Ulhaq, JCMV Júnior
Electric Power Systems Research 174, 105872, 2019
272019
Volatility diagnosis in phase-to-phase fault detection for branch across wire faults
C Ozansoy, DPS Gomes
IEEE Transactions on Power Delivery 36 (1), 19-29, 2020
202020
Optimal monitoring of voltage sags through simultaneous analysis of short‐circuits in distribution systems
TR Kempner, M Oleskovicz, DPS Gomes
IET Generation, Transmission & Distribution 11 (7), 1801-1808, 2017
192017
Computer vision for covid-19 control: A survey (2020)
A Ulhaq, A Khan, D Gomes, M Paul
arXiv preprint arXiv:2004.09420, 1-24, 2004
102004
Improved abdominal multi-organ segmentation via 3D boundary-constrained deep neural networks
S Irshad, DPS Gomes, ST Kim
IEEE Access 11, 35097-35110, 2023
92023
High impedance fault location methods: review and harmonic selection-based analysis
GN Lopes, TS Menezes, DPS Gomes, JCM Vieira
IEEE Open Access Journal of Power and Energy 10, 438-449, 2023
92023
Deep mining generation of lung cancer malignancy models from chest X-ray images
M Horry, S Chakraborty, B Pradhan, M Paul, D Gomes, A Ul-Haq, A Alamri
Sensors 21 (19), 6655, 2021
92021
Computer vision for COVID-19 control: A survey. arXiv 2020
A Ulhaq, A Khan, D Gomes, M Paul
arXiv preprint arXiv:2004.09420, 0
9
High-frequency spectral analysis of high impedance vegetation faults on a three-wire system
DPS Gomes, C Ozansoy, A Ulhaq
2017 Australasian Universities Power Engineering Conference (AUPEC), 1-5, 2017
82017
Leaf segmentation and counting with deep learning: on model certainty, test-time augmentation, trade-offs
DPS Gomes, L Zheng
arXiv preprint arXiv:2012.11486, 2020
72020
Computer vision for COVID-19 control: A survey. arXiv
A Ulhaq, A Khan, D Gomes, M Paul
arXiv preprint arXiv:2004.09420, 2020
72020
Electrical and physical characterization of earth faults for diverse bush species
C Ozansoy, DPS Gomes
Engineering Science and Technology, an International Journal 23 (5), 1109-1117, 2020
62020
Potential features of icu admission in x-ray images of covid-19 patients
DPS Gomes, A Ulhaq, M Paul, MJ Horry, S Chakraborty, M Saha, ...
arXiv preprint arXiv:2009.12597, 2020
62020
Visibility of vegetation high-impedance fault low-frequency and high-frequency signatures
CR Ozansoy, DPS Gomes, M Faulkner
IEEE Transactions on Power Delivery 38 (3), 2236-2239, 2023
52023
VeHIF: an accessible vegetation high-impedance fault data set format
DPS Gomes, C Ozansoy
IEEE Transactions on Power Delivery 37 (6), 5473-5475, 2022
52022
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Artículos 1–20